Transfer learning for GANs successfully improves generation performance ...
Weakly-supervised semantic segmentation (WSSS) has recently gained much
...
Session-based recommendation (SR) predicts the next items from a sequenc...
Automatic few-shot font generation aims to solve a well-defined, real-wo...
Existing studies in weakly-supervised semantic segmentation (WSSS) using...
A few-shot font generation (FFG) method has to satisfy two objectives: t...
Session-based recommendation aims at predicting the next item given a
se...
Automatic few-shot font generation is in high demand because manual desi...
Weakly-supervised object localization (WSOL) has gained popularity over ...
Weakly-supervised object localization (WSOL) has gained popularity over ...
Knowledge distillation (KD) is a well-known method to reduce inference
l...
Weakly Supervised Object Localization (WSOL) techniques learn the object...
We propose a novel approach to recovering the translucent objects from a...
We propose a novel framework for simultaneously generating and manipulat...
We propose a novel algorithm, namely Resembled Generative Adversarial
Ne...
This paper introduces a novel end-to-end deep neural network model for
u...
Generative adversarial networks (GANs) have achieved outstanding success...
Mode collapse is a critical problem in training generative adversarial
n...
We propose an improved technique for weakly-supervised object localizati...
Despite of the success of Generative Adversarial Networks (GANs) for ima...